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Enhancing information source selection using a genetic algorithm and social tagging
Institution:1. CERIST, Algiers, Algeria;2. USTHB, LRIA, Algiers, Algeria;1. Independent Scholar, Logistics Management Expert, Menemen, Izmir, Turkey;2. Department of Management, Istanbul Commerce University, Istanbul, Turkey;3. Business Administration, American University of the Middle East, Kuwait;4. Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey;5. Department of Management Science and Information Systems, Oklahoma State University, Stillwater, OK, USA;1. Knowledge Management and Engineering Research Group, Universidade Atlântica, Fábrica da Pólvora de Barcarena, 2730-036 Barcarena, Portugal;2. Departamento de Engenharia Informática, Universidade de Coimbra, Pólo II - Pinhal de Marrocos, 3030-290 Coimbra, Portugal;3. Department of Science and Information Technology, Instituto Universitário de Lisboa (ISCTE-IUL), Lisboa, Portugal;1. School of Business, Jiangnan University, China;2. Research Institute of Smart Senior Care, School of Information, Renmin University of China, China;3. School of Information Resources Management, Renmin University of China, China;1. Montclair State University, Department of Information Management and Business Analytics, Feliciano School of Business, 1 Normal Ave., Montclair, NJ 07043, United States;2. Baruch College, CUNY, Statistics & CIS Department, Zicklin School of Business, One Bernard Baruch Way, Box B11-220, New York, NY 10010, United States
Abstract:
Keywords:Information sources selection  Distributed information retrieval  Bio-inspired methods  Genetic algorithms  Social tagging
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